There are many different methods to perform gray level segmentation in microscope cell images, however in some circumstances texture features and roughness are not as relevant as the color for the segmentation task. In many biomedical applications, where these types of images are analyzed, the aim is to segment nuclei for their clinical analysis. In this work, a fuzzy color mathematical morphology reconstruction technique was developed, based on a new locally defined ordering, to achieve microscope cell images segmentation. We show experimental results for this proposed fuzzy color morphological reconstruction, which show that this tool can be efficiently applied in cells segmentation without generating false colors.

Date Published: 26 January 2017
PDF: 8 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600O (26 January 2017); doi: 10.1117/12.2256921

Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)